Evidence map›Paper›PMID 36591595›Full record

ArticleSynthetic biology (Oxford, England)2022

Development of an expression-tunable multiple protein synthesis system in cell-free reactions using T7-promoter-variant series.

Naoko Senda, Toshihiko Enomoto, Kenta Kihara, Naoki Yamashiro, Naosato Takagi, Daisuke Kiga, Hirokazu Nishida

Abstract read
In one paragraph

Article in Synthetic biology (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Advancing synthetic biology through cell-free protein synthesis.Computational and structural biotechnology journal · 2023
    Review
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Naoko SendaResearch & Development Group, Hitachi, Ltd., Kokubunji, Tokyo, Japan.
Toshihiko EnomotoDepartment of Electrical Engineering and Bioscience, Waseda University, Shinjuku, Tokyo, Japan.
Kenta KiharaDepartment of Electrical Engineering and Bioscience, Waseda University, Shinjuku, Tokyo, Japan.
Naoki YamashiroDepartment of Electrical Engineering and Bioscience, Waseda University, Shinjuku, Tokyo, Japan.
Naosato TakagiDepartment of Electrical Engineering and Bioscience, Waseda University, Shinjuku, Tokyo, Japan.
Daisuke KigaDepartment of Electrical Engineering and Bioscience, Waseda University, Shinjuku, Tokyo, Japan.ORCID https://orcid.org/0000-0003-3778-5887
Hirokazu NishidaResearch & Development Group, Hitachi, Ltd., Kokubunji, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1738-8331

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New materials with a low environmental load are expected to be generated through synthetic biology. To widely utilize this technology, it is important to create cells with designed biological functions and to control the expression of multiple enzymes. In this study, we constructed a cell-free evaluation system for multiple protein expression, in which synthesis is controlled by T7 promoter variants. The expression of a single protein using the T7 promoter variants showed the expected variety in expression levels, as previously reported. We then examined the expression levels of multiple proteins that are simultaneously produced in a single well to determine whether they can be predicted from the promoter activity values, which were defined from the isolated protein expression levels. When the sum of messenger ribonucleic acid (mRNA) species is small, the experimental protein expression levels can be predicted from the promoter activities (graphical abstract (a)) due to low competition for ribosomes. In other words, by using combinations of T7 promoter variants, we successfully developed a cell-free multiple protein synthesis system with tunable expression. In the presence of large amounts of mRNA, competition for ribosomes becomes an issue (graphical abstract (b)). Accordingly, the translation level of each protein cannot be directly predicted from the promoter activities and is biased by the strength of the ribosome binding site (RBS); a weaker RBS is more affected by competition. Our study provides information regarding the regulated expression of multiple enzymes in synthetic biology.

Indexed as

cell-free protein synthesisribosome competitionT7 promoterT7 RNA polymerase

Identifiers

PMID36591595
PMCPMC9791696

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.